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Senior Solutions Architect, CSP System

NVIDIA

China, Shanghai · On-site · relocationSalary not disclosedfull-timeNVIDIA Careers (offices abroad)

As a Senior GPU & AI Infra Expert focusing on Cloud Service Providers (CSPs) in China, you will be a core technical pillar in NVIDIA’s CSP SA team, responsible for driving GPU/AI Infra technical strategy, system-level solution optimization, and high-value customer engagement. You will work closely with major Chinese CSPs to address their critical demands on large-scale AI training/inference, Agentic AI, gaming AI, and distributed computing infrastructure.

Responsibilities

  • Partner with Sales, BD and CPM teams to land NVIDIA GPU and AI Infra technologies into top-tier Chinese CSP accounts, drive technical penetration and sustainable business growth.
  • Serve as the primary technical authority for NVIDIA GPU system and AI infrastructure solutions for Chinese CSPs, providing end-to-end consultation on GPU cluster architecture design, AI workload deployment, heterogeneous computing tuning, and full-stack software stack optimization.
  • Unlock Vera CPU + GPU co-optimization value for RL training and Agentic AI workloads, eliminate CPU-GPU data movement bottlenecks, optimize end-to-end agent training and reasoning pipeline latency and throughput for CSP AI factory scenarios.
  • Lead open-source system architecture contributions for NVIDIA AI infra stacks, upstream optimized patches for key open-source projects, build China-localized best practices and shape industry technical standards.
  • Conduct in-depth GPU workload bottleneck analysis, implement system-level, kernel-level and framework-level tuning for AI training, inference, RL and gaming workloads, deliver production-ready reference designs and tuning guidelines for CSP mass deployment.
  • Act as the key technical liaison between Chinese CSP customers and NVIDIA global engineering, product and R&D teams, collect high-value local workload requirements, drive product roadmap iteration, and ensure full compliance with NVIDIA global technical policies and export compliance rules.
  • Lead technical workshops, hands-on training, PoC and production pilot projects for key CSP accounts, quantify and demonstrate GPU/AI Infra business value, accelerate technology adoption and large-scale replication.
  • Monitor cutting-edge industry trends including Agentic AI, LLM inference optimization, cloud gaming AI, and next-gen data center system architectures, output strategic technical insights to support team and product strategy formulation.
  • Mentor junior SA team members, standardize CSP technical engagement and solution delivery processes, and drive the precipitation of high-value technical best practices.
  • What we need to see

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    Work format
    On-site
    Seniority
    Senior
    Posted
    27 Aug 2026
    Last verified
    In the last 5 days

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